Abstract. The aim of the study is to evaluate whether depression or apathy in patients with amnestic-mild cognitive impairment (MCI) increases the risk of progressing to Alzheimer's disease (AD). We investigated 131 consecutive memory-clinic outpatients with newly-diagnosed amnestic-MCI (mean age 70.8, SD = 6.5). Psychiatric disorders were diagnosed at baseline according to the criteria for depression and apathy in AD. Neuropsychiatric symptoms were assessed with the Neuropsychiatric Inventory (NPI). Follow-up examinations were conducted after six months and annually for four years. Neurologists diagnosed AD at follow-up using NINCDS-ADRDA criteria. Cox proportional hazard models with 95% confidence intervals were used to test the hypothesis that apathy or depression increases the risk of developing AD. At baseline, 36.6% amnestic-MCI patients had a diagnosis of depression and 10.7% had apathy. Patients with both amnestic-MCI and an apathy diagnosis had an almost sevenfold risk of AD progression compared to amnestic-MCI patients without apathy (HR = 6.9; 2.3-20.6), after adjustment for age, gender, education, baseline global cognitive and functional status, and depression. Furthermore, the risk of developing AD increased 30% per point on the NPI apathy item (HR = 1.3; 1.1-1.4). There was no increased risk of developing AD in amnestic-MCI patients with either a diagnosis or symptoms of depression. In conclusion, apathy, but not depression, predicts which patients with amnestic-MCI will progress to AD. Thus, apathy has an important impact on amnestic-MCI and should be considered a mixed cognitive/psychiatric disturbance related to ongoing AD neurodegeneration.
Callosal changes are already present in patients with amnestic mild cognitive impairment (MCI) and mild Alzheimer disease (AD). The precocious involvement of the anterior callosal subregion in amnestic MCI extends to posterior regions in mild AD. Two different mechanisms might contribute to the white matter changes in mild AD: wallerian degeneration in posterior subregions of the corpus callosum (suggested by increased axial diffusivity without fractional anisotropy modifications) and a retrogenesis process in the anterior callosal subregions (suggested by increased radial diffusivity without axial diffusivity modifications).
Rates of disease progression differ among patients with Alzheimer's disease, but little is known about prognostic predictors. The aim of the study was to assess whether sociodemographic factors, disease severity and duration, and vascular factors are prognostic predictors of cognitive decline in Alzheimer's disease progression. We conducted a longitudinal clinical study in a specialized clinical unit for the diagnosis and treatment of dementia in Rome, Italy. A total of 154 persons with mild to moderate Alzheimer's disease consecutively admitted to the dementia unit were included. All patients underwent extensive clinical examination by a physician at admittance and all follow-ups. We evaluated the time-dependent probability of a worsening in cognitive performance corresponding to a 5-point decrease in Mini-Mental State Examination (MMSE) score.Survival analysis was used to analyze risk of faster disease progression in relation to age, education, severity and duration of the disease, family history of dementia, hypertension, hypercholesterolemia, and type 2 diabetes. Younger and more educated persons were more likely to have faster Alzheimer's disease progression. Vascular factors such as hypertension and hypercholesterolemia were not found to be significantly associated with disease progression. However, patients with diabetes had a 65% reduced risk of fast cognitive decline compared to Alzheimer patients without diabetes. Sociodemographic factors and diabetes predict disease progression in Alzheimer's disease. Our findings suggest a slower disease progression in Alzheimer's patients with diabetes. If confirmed, this result will contribute new insights into Alzheimer's disease pathogenesis and lead to relevant suggestions for disease treatment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.